Research of Hadoop-Based Digital Library Data Service System

2017 ◽  
Author(s):  
Fengjie Hao ◽  
Fei Liu
Keyword(s):  
Digital Library ◽  
Service System ◽  
Data Service

Reader service experience system of intelligent library based on artificial intelligence and machine learning

2021 ◽  
pp. 1-11
Author(s):  
Wang Songyun
Keyword(s):  
Digital Library ◽  
Clustering Algorithm ◽  
Service System ◽  
Video Retrieval ◽  
Social Economy ◽  
Video Data ◽  
Software Requirements ◽  
Library Service ◽  
The Times ◽  
Video Recovery

With the development of social economy and the improvement of science and technology, digital video on the Internet is increasing rapidly, and it has become a new force to promote the development of the times. Most of these videos are stored in the memory, which poses a great challenge to the research and development of the system. The reader service system is an important part of library service. The library uses it to collect information resources, not just for service and work. The document combines the video of library service, the analysis of video recovery and video software requirements of digital library, puts forward the design goal and conception of video search, and puts forward a foundation. From the video data of digital library, video retrieval experiments are gradually carried out. These experimental results show that the number of enhanced dynamic clustering algorithm increases to ensure the complexity of the image.

OpenDLib

2009 ◽  
pp. 1-7
Author(s):  
Leonardo Candela ◽  
Donatella Castelli ◽  
Pasquale Pagano
Keyword(s):  
Digital Library ◽  
Digital Libraries ◽  
Service System ◽  
System Development ◽  
Broad Class ◽  
Decision Makers ◽  
Library Service ◽  
The Creation ◽  
Application Developers

This chapter introduces OpenDLib, a digital library service system developed at ISTI-CNR for easing the creation and management of digital libraries. It discusses the motivations underlying the development of such a system and describes it by presenting (i) the characteristics of the huge kind of content it is capable of managing, (ii) the set of functions it natively provides its digital libraries with, (iii) the powerful and flexibility of its component-oriented architectural paradigm as a key feature for addressing different application scenarios, and (iv) the technologies the system development relies on. The authors hope that understanding the OpenDLib foundational principles will not only inform stakeholders and decision makers of the features implemented by this existing system, but also assist researchers and application developers in the understanding of the issues, and their possible solutions, that arises when building digital library systems aimed at serving such a broad class of application scenarios.

Oceanic satellite data service system based on web

2011 ◽  
Author(s):  
Yan Kang ◽  
Delu Pan ◽  
Xianqiang He ◽  
Difeng Wang ◽  
Jianyu Chen ◽  
...  
Keyword(s):  
Satellite Data ◽  
Service System ◽  
Data Service

Rapid Development of Multi-Source Heterogeneous Drilling Data Service System

2021 ◽  
Author(s):  
Zhong Cheng ◽  
Rongqiang Xu ◽  
Jianbing Chen ◽  
Ning Li ◽  
Xiaolong Yu ◽  
...  
Keyword(s):  
Data Management ◽  
Management System ◽  
Service System ◽  
Third Party ◽  
Data Management System ◽  
Data Service ◽  
Offshore Drilling ◽  
The Third ◽  
Drilling Data ◽  
Drilling Operations

Abstract Digital oil and gas field is an overly complex integrated information system, and with the continuous expansion of business scale and needs, oil companies will constantly raise more new and higher requirements for digital transformation. In the previous system construction, we adopted multi-phase, multi-vendor, multi-technology and multi-method, resulting in the problem of data silos and fragmentation. The result of the data management problems is that decisions are often made using incomplete information. Even when the desired data is accessible, requirements for gathering and formatting it may limit the amount of analysis performed before a timely decision must be made. Therefore, through the use of advanced computer technologies such as big data, cloud computing and IOT (internet of things), it has become our current goal to build an integrated data integration platform and provide unified data services to improve the company's bottom line. As part of the digital oilfield, offshore drilling operations is one of the potential areas where data processing and advanced analytics technology can be used to increase revenue, lower costs, and reduce risks. Building a data mining and analytics engine that uses multiple drilling data is a difficult challenge. The workflow of data processing and the timeliness of the analysis are major considerations for developing a data service solution. Most of the current analytical engines require more than one tool to have a complete system. Therefore, adopting an integrated system that combines all required tools will significantly help an organization to address the above challenges in a timely manner. This paper serves to provide a technical overview of the offshore drilling data service system currently developed and deployed. The data service system consists of four subsystems. They are the static data management system including structured data (job report) and unstructured data (design documentation and research report), the real-time data management system, the third-party software data management system integrating major industry software databases, and the cloud-based data visual application system providing dynamic analysis results to achieve timely optimization of the operations. Through a unified logical data model, it can realize the quick access to the third-party software data and application support; These subsystems are fully integrated and interact with each other to function as microservices, providing a one-stop solution for real-time drilling optimization and monitoring. This data service system has become a powerful decision support tool for the drilling operations team. The learned lessons and gained experiences from the system services presented here provide valuable guidance for future demands E&P and the industrial revolution.

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